Community indexed
AI argues. Code settles. The losses stay on the page. A real HK + US brokerage account run by agents that must debate every call, settled by code the model never touches. Install the same decision workflow into your own agent: OpenClaw, Claude Code, Codex, or DeepSeek Harness.
A reusable agent decision workflow that forces AI agents to debate financial trades and settles via code, installable across multiple agent runtimes.
Source documentation, not instructions for this website. Review permissions before running any commands.
A real Hong Kong + US brokerage account, run day after day by agents that debate every call before it happens, then settled by code the model never touches. Every result gets published, wins and losses both. Install the same decision workflow into your own agent, in any harness: OpenClaw, Claude Code, Codex, DeepSeek Harness, or one you write yourself.
PyPI ↗ npm ↗ Tests ↗ Live Data ↗ Coverage ↗ License ↗
Live dashboard · [Daily briefs](https://k
<div align="center"> <h1><img src="https://raw.githubusercontent.com/KCNyu/clawock/refs/heads/master/site/assets/logo-lockup.svg" alt="clawock" height="48"></h1> ### AI argues. Code settles. The losses stay on the page. A real Hong Kong + US brokerage account, run day after day by agents that debate every call before it happens, then settled by code the model never touches. Every result gets published, wins and losses both. Install the same decision workflow into your own agent, in any harness: OpenClaw, Claude Code, Codex, DeepSeek Harness, or one you write yourself. [](https://pypi.org/project/clawock/) [](https://www.npmjs.com/package/clawock-dsh) [](https://github.com/KCNyu/clawock/actions/workflows/harness-regression.yml) [](https://github.com/KCNyu/clawock/actions/workflows/dashboard-artifact-gate.yml) [](https://github.com/KCNyu/clawock/actions/workflows/harness-regression.yml) [](https://github.com/KCNyu/clawock/blob/master/LICENSE) [**Live dashboard**](https://kcnyu.github.io/clawock/) · [**Daily briefs**](https://k
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
64/100
Promising
Trust
69/100
Sandbox only
Audit
79/100
Risky
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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